Academic literature on the topic 'Multi-glyphic Correspondence Topic Model'

This topic mainly makes use of the VC plait distance language, design and realization agreement according to the TCP/IP of C/S the correspondence model of the mode, design terminal of correspondence format, design and carry out a terrace server, carry out a data between terminals transmission with synchronous. Under the environment of Windows XP, make use of Visual C provide of CSocket carry on the development of applied procedure, can make the procedure carry out a network a top a data to receive, send out function quickly and accurately, complete an of customer of the data deliver. The realization is under the network environment of have another person's on-line technique.

Action recognition has been a heated topic in computer vision for its wide application in vision systems. Previous approaches achieve improvement by fusing the modalities of the skeleton sequence and RGB video. However, such methods pose a dilemma between the accuracy and efficiency for the high complexity of the RGB video network. To solve the problem, we propose a multi-modality feature fusion network to combine the modalities of the skeleton sequence and RGB frame instead of the RGB video, as the key information contained by the combination of the skeleton sequence and RGB frame is close to that of the skeleton sequence and RGB video. In this way, complementary information is retained while the complexity is reduced by a large margin. To better explore the correspondence of the two modalities, a two-stage fusion framework is introduced in the network. In the early fusion stage, we introduce a skeleton attention module that projects the skeleton sequence on the single RGB frame to help the RGB frame focus on the limb movement regions. In the late fusion stage, we propose a cross-attention module to fuse the skeleton feature and the RGB feature by exploiting the correlation. Experiments on two benchmarks, NTU RGB+D and SYSU, show that the proposed model achieves competitive performance compared with the state-of-the-art methods while reducing the complexity of the network.

<p>Technological developments have triggered the emergence of various kinds of learning media innovations. Learning media is a very important part of the learning process. In this study, researchers designed a learning media in the form of a virtual laboratory on the practicum material of the basics of analytical chemistry which is integrated with multi-representation triplets to create and describe the results of learning media.</p>The method used in this development was Research and Development (R&amp;D) method using the 4-D (four-D) development model. Data collection used qualitative and quantitative data. The qualitative data were in the form of comments and suggestions from the validator, while the quantitative data were the validation questionnaire and legibility test. The results showed that the validation of the material obtained a percentage of 84% (very valid), media validation of 78% (valid), and the results of trials on correspondents obtained a percentage in the range 81-92% (very valid). It can be concluded that the virtual laboratory learning media on the analytical chemistry laboratory material with the integration of the developed multi-representation triplet explanations is feasible to use, especially in the practicum of the basics of analytical chemistry on the topic of group I cation analysis and argentometry. This shows that the virtual laboratory developed has the potential to support online practicum learning, and the macroscopic, submicroscopic, and symbolic depiction in the virtual laboratory can help the process of receiving information by students

<p><strong>Abstract.</strong> The monitoring of agricultural activities at a regular basis is crucial to assure that the food production meets the world population demands, which is increasing yearly. Such information can be derived from remote sensing data. In spite of topic’s relevance, not enough efforts have been invested to exploit modern pattern recognition and machine learning methods for agricultural land-cover mapping from multi-temporal, multi-sensor earth observation data. Furthermore, only a small proportion of the works published on this topic relates to tropical/subtropical regions, where crop dynamics is more complicated and difficult to model than in temperate regions. A major hindrance has been the lack of accurate public databases for the comparison of different classification methods. In this context, the aim of the present paper is to share a multi-temporal and multi-sensor benchmark database that can be used by the remote sensing community for agricultural land-cover mapping. Information about crops in situ was collected in Luís Eduardo Magalhães (LEM) municipality, which is an important Brazilian agricultural area, to create field reference data including information about first and second crop harvests. Moreover, a series of remote sensing images was acquired and pre-processed, from both active and passive orbital sensors (Sentinel-1, Sentinel-2/MSI, Landsat-8/OLI), correspondent to the LEM area, along the development of the main annual crops. In this paper, we describe the LEM database (crop field boundaries, land use reference data and pre-processed images) and present the results of an experiment conducted using the Sentinel-1 and Sentinel-2 data.</p>

Abstract The development of adaptive morphing wings has been individuated as one of the crucial topics in the greening of the next generation air transport. Research programs are currently running worldwide to exploit the potentiality of morphing concepts in the optimisation of aircraft efficiency and in the consequent reduction of fuel burn. Among these, SARISTU represents the largest European funded research project which ambitiously addresses the challenges posed by the physical integration of smart concepts in real aircraft structures; for the first time ever, SARISTU will experimentally demonstrate the structural feasibility of individual morphing concepts concerning the leading edge, the trailing edge and the winglet on a full-size outer wing belonging to a CS-25 category aircraft. In such framework, the authors intensively worked on the definition of aeroelastically stable configurations for a morphing wing trailing edge driven by conventional electromechanical actuators. Trade off aeroelastic analyses were performed in compliance with CS-25 airworthiness requirements (paragraph 25.629, parts (a) and (b)-(1)) in order to define safety ranges for trailing-edge inertial and stiffness distributions as well as for its control harmonics. Rational approaches were implemented in order to simulate the effects induced by variations of trailing-edge actuators’ stiffness on the aeroelastic behaviour of the wing also in correspondence of different dynamic properties of the trailing-edge component. Reliable aeroelastic models and advanced computational strategies were properly implemented to enable fast flutter analyses covering several configuration cases in terms of structural system parameters. Already available finite elements models were processed in MSC-NASTRAN® environment to evaluate stiffness and inertial distributions suitable for the stick-equivalent idealisation of the reference structure. A parametric stick-equivalent model of the reference structure was then generated in SANDY3.0, an in-house developed code, that was used for the definition of the coupled aero-structural model as well as for the solution of aeroelastic stability equations by means of theoretical modes association in frequency domain. Obtained results were finally arranged in stability carpet plots efficiently conceived to provide guidelines for the preliminary design of the morphing trailing-edge structure and therein embedded actuators.

Commenting is a popular facility provided by news sites. Analyzing such user-generated content has recently attracted research interest. However, in multilingual societies such as India, analyzing such user-generated content is hard due to several reasons: (1) There are more than 20 official languages but linguistic resources are available mainly for Hindi. It is observed that people frequently use romanized text as it is easy and quick using an English keyboard, resulting in multi-glyphic comments, where the texts are in the same language but in different scripts. Such romanized texts are almost unexplored in machine learning so far. (2) In many cases, comments are made on a specific part of the article rather than the topic of the entire article. Off-the-shelf methods such as correspondence LDA are insufficient to model such relationships between articles and comments. In this paper, we extend the notion of correspondence to model multi-lingual, multi-script, and inter-lingual topics in a unified probabilistic model called the Multi-glyphic Correspondence Topic Model (MCTM). Using several metrics, we verify our approach and show that it improves over the state-of-the-art.

We justify the concept of metapatterns as functional patterns or functional principles that are common to a large set of systems that encompass both biology and culture, by starting with the fact that evolved systems, whether biological or cultural, are produced from any iterative sequence of replication, variation, and selection. Therefore the systems that result, with specific functional parts, are formed as wholes that fit particular contexts. The principle of convergence in biological evolution, in which similar structures are independently evolved, is the model that can be extended even beyond biology. If the contexts of evolved systems across widely separated scales are similar, the resulting evolved systems can exhibit convergences that themselves occur at diverse scales. These grand convergences are the metapatterns. For example, the functional advantage of dynamically separating systems from their environments sets the context for the evolution of the metapattern of borders across various scales. We outline fifteen additional examples of metapatterns. We also examine the correspondences and differences between metapatterns as a multi-scale approach to systems and the approach from complexity science. We suggest that metapatterns could serve as tools for thinking about a diverse range of topics, and could thereby motivate the transference of generalizations. Finally, we propose that because metapatterns are employed in human thought, they will be useful in formulating new questions for education research, which is the subject of the companion paper.